geolip-SVAE / chalkboard_4_bare_metal_output.txt
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OMEGA PATCHWORK β€” Calibrated Embeddings
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Local cache found.
Verifying calibration against actual data...
feat calib_ΞΌ actual_ΞΌ calib_Οƒ actual_Οƒ match
r01 +1.1523 +1.1130 0.0205 0.0101 βœ“
r12 +1.3688 +1.3982 0.0384 0.0418 βœ“
r23 +1.5318 +1.4840 0.0687 0.0412 βœ“
e0 +0.4295 +0.4150 0.0077 0.0057 βœ“
e1 +0.3236 +0.3351 0.0077 0.0077 βœ“
e2 +0.1730 +0.1716 0.0072 0.0066 βœ“
e3 +0.0740 +0.0782 0.0053 0.0063 βœ“
c0 +1.0465 +1.0028 0.0288 0.0159 βœ“
c1 +0.5359 +0.6043 0.0381 0.0283 βœ“
c2 -0.3667 -0.3938 0.0487 0.0259 βœ“
c3 -1.2156 -1.2133 0.0286 0.0124 βœ“
d0 +0.6553 +0.6442 0.0059 0.0045 βœ“
d1 +0.5688 +0.5788 0.0068 0.0067 βœ“
d2 +0.4158 +0.4142 0.0086 0.0079 βœ“
d3 +0.2718 +0.2794 0.0098 0.0112 βœ“
Max drift: 1.92Οƒ
Patches: 64x64 = 4096
Condense: S(4) β†’ calibrated(15) β†’ sphere norm
All 15 features have EQUAL variance before sphere norm
Embeddings: 48 Γ— 4 on unit sphere
Pool: 1024 β†’ 48 β†’ 10
Params: 49,942
CV target: 0.2915, weight: 0.1
Batch: 512, lr=0.0001
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Ep 1/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 32.06it/s, loss=2.2162 acc=17.4% cv=0.499]
ep 1 | loss=2.2648 train=17.4% test=23.2% cv=0.499 | best=horse=41% worst=cat=7% | 5s
Embed sim: avg=-0.007 min=-0.994 max=0.998
class acc
----------------------
airplane 13.2% β–ˆβ–ˆ
automobile 25.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
bird 17.3% β–ˆβ–ˆβ–ˆ
cat 7.4% β–ˆ
deer 25.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
dog 22.0% β–ˆβ–ˆβ–ˆβ–ˆ
frog 26.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
horse 40.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
ship 26.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
truck 28.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
Ep 2/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.22it/s, loss=2.1013 acc=25.4% cv=0.499]
ep 2 | loss=2.1443 train=25.4% test=28.0% cv=0.499 | best=frog=38% worst=cat=15% | 6s
Ep 3/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 30.97it/s, loss=2.0527 acc=28.6% cv=0.499]
ep 3 | loss=2.0770 train=28.6% test=30.5% cv=0.499 | best=frog=47% worst=bird=15% | 6s
Ep 4/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:02<00:00, 34.48it/s, loss=2.0598 acc=30.5% cv=0.499]
ep 4 | loss=2.0404 train=30.5% test=31.6% cv=0.499 | best=frog=41% worst=bird=17% | 5s
Ep 5/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 32.00it/s, loss=1.9803 acc=31.9% cv=0.499]
ep 5 | loss=2.0148 train=31.9% test=33.0% cv=0.499 | best=frog=50% worst=cat=18% | 5s
Embed sim: avg=-0.006 min=-0.997 max=0.998
class acc
----------------------
airplane 31.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
automobile 38.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
bird 21.1% β–ˆβ–ˆβ–ˆβ–ˆ
cat 17.8% β–ˆβ–ˆβ–ˆ
deer 26.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
dog 32.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
frog 49.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
horse 40.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
ship 33.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
truck 38.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
Ep 6/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 27.76it/s, loss=2.0467 acc=33.2% cv=0.499]
ep 6 | loss=1.9954 train=33.2% test=34.2% cv=0.499 | best=frog=49% worst=cat=19% | 6s
Ep 7/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:02<00:00, 34.29it/s, loss=1.9725 acc=34.0% cv=0.498]
ep 7 | loss=1.9785 train=34.0% test=34.8% cv=0.498 | best=frog=49% worst=cat=19% | 5s
Ep 8/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 30.35it/s, loss=1.9565 acc=34.8% cv=0.498]
ep 8 | loss=1.9639 train=34.8% test=35.2% cv=0.498 | best=frog=53% worst=cat=17% | 5s
Ep 9/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:02<00:00, 32.52it/s, loss=1.9658 acc=35.3% cv=0.498]
ep 9 | loss=1.9517 train=35.3% test=35.8% cv=0.498 | best=frog=50% worst=cat=18% | 5s
Ep 10/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 28.19it/s, loss=1.9074 acc=35.7% cv=0.498]
ep 10 | loss=1.9408 train=35.7% test=36.3% cv=0.498 | best=frog=51% worst=cat=19% | 5s
Embed sim: avg=-0.004 min=-0.992 max=0.998
class acc
----------------------
airplane 36.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
automobile 43.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
bird 22.0% β–ˆβ–ˆβ–ˆβ–ˆ
cat 19.3% β–ˆβ–ˆβ–ˆ
deer 30.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
dog 36.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
frog 51.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
horse 42.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
ship 42.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
truck 39.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
Ep 11/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.82it/s, loss=1.9488 acc=36.2% cv=0.498]
ep 11 | loss=1.9311 train=36.2% test=36.6% cv=0.498 | best=frog=51% worst=cat=19% | 5s
Ep 12/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:02<00:00, 32.54it/s, loss=1.9359 acc=36.5% cv=0.498]
ep 12 | loss=1.9222 train=36.5% test=37.0% cv=0.498 | best=frog=51% worst=cat=18% | 5s
Ep 13/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 30.34it/s, loss=1.8731 acc=36.9% cv=0.498]
ep 13 | loss=1.9146 train=36.9% test=37.0% cv=0.498 | best=frog=51% worst=cat=19% | 5s
Ep 14/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 32.03it/s, loss=1.9018 acc=37.0% cv=0.498]
ep 14 | loss=1.9080 train=37.0% test=37.0% cv=0.498 | best=frog=52% worst=cat=19% | 5s
Ep 15/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 27.72it/s, loss=1.8882 acc=37.3% cv=0.498]
ep 15 | loss=1.9017 train=37.3% test=37.2% cv=0.498 | best=frog=52% worst=cat=20% | 6s
Embed sim: avg=-0.003 min=-0.996 max=0.998
class acc
----------------------
airplane 41.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
automobile 43.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
bird 22.1% β–ˆβ–ˆβ–ˆβ–ˆ
cat 19.6% β–ˆβ–ˆβ–ˆ
deer 30.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
dog 36.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
frog 52.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
horse 43.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
ship 42.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
truck 41.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
Ep 16/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 28.59it/s, loss=1.8969 acc=37.5% cv=0.497]
ep 16 | loss=1.8965 train=37.5% test=37.5% cv=0.498 | best=frog=52% worst=cat=20% | 6s
Ep 17/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 32.03it/s, loss=1.8773 acc=37.7% cv=0.497]
ep 17 | loss=1.8923 train=37.7% test=37.6% cv=0.497 | best=frog=50% worst=cat=20% | 5s
Ep 18/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 31.93it/s, loss=1.8899 acc=37.7% cv=0.497]
ep 18 | loss=1.8884 train=37.7% test=37.8% cv=0.497 | best=frog=51% worst=cat=20% | 5s
Ep 19/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 28.31it/s, loss=1.8671 acc=37.8% cv=0.497]
ep 19 | loss=1.8852 train=37.8% test=38.0% cv=0.497 | best=frog=53% worst=cat=19% | 5s
Ep 20/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:02<00:00, 34.28it/s, loss=1.9020 acc=38.0% cv=0.497]
ep 20 | loss=1.8823 train=38.0% test=38.0% cv=0.497 | best=frog=52% worst=cat=19% | 5s
Embed sim: avg=-0.003 min=-0.997 max=0.997
class acc
----------------------
airplane 40.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
automobile 44.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
bird 25.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
cat 19.5% β–ˆβ–ˆβ–ˆ
deer 30.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
dog 35.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
frog 51.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
horse 45.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
ship 44.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
truck 43.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
Ep 21/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:02<00:00, 35.24it/s, loss=1.8656 acc=38.1% cv=0.497]
ep 21 | loss=1.8793 train=38.1% test=38.1% cv=0.497 | best=frog=52% worst=cat=19% | 5s
Ep 22/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 32.29it/s, loss=1.8963 acc=38.2% cv=0.497]
ep 22 | loss=1.8783 train=38.2% test=38.0% cv=0.497 | best=frog=52% worst=cat=19% | 5s
Ep 23/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 31.28it/s, loss=1.9037 acc=38.2% cv=0.497]
ep 23 | loss=1.8764 train=38.2% test=38.0% cv=0.497 | best=frog=52% worst=cat=19% | 6s
Ep 24/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:02<00:00, 32.80it/s, loss=1.8947 acc=38.4% cv=0.497]
ep 24 | loss=1.8756 train=38.4% test=38.2% cv=0.497 | best=frog=52% worst=cat=20% | 5s
Ep 25/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.83it/s, loss=1.9127 acc=38.3% cv=0.497]
ep 25 | loss=1.8748 train=38.3% test=38.2% cv=0.497 | best=frog=52% worst=cat=20% | 5s
Embed sim: avg=-0.003 min=-0.997 max=0.997
class acc
----------------------
airplane 40.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
automobile 46.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
bird 25.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
cat 19.7% β–ˆβ–ˆβ–ˆ
deer 29.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
dog 36.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
frog 52.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
horse 44.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
ship 44.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
truck 43.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
Ep 26/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:02<00:00, 35.99it/s, loss=1.8831 acc=38.3% cv=0.497]
ep 26 | loss=1.8746 train=38.3% test=38.1% cv=0.497 | best=frog=52% worst=cat=20% | 5s
Ep 27/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:02<00:00, 32.42it/s, loss=1.8241 acc=38.4% cv=0.497]
ep 27 | loss=1.8730 train=38.4% test=38.2% cv=0.497 | best=frog=52% worst=cat=20% | 5s
Ep 28/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 30.96it/s, loss=1.8874 acc=38.5% cv=0.497]
ep 28 | loss=1.8723 train=38.5% test=38.2% cv=0.497 | best=frog=52% worst=cat=20% | 5s
Ep 29/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:02<00:00, 32.63it/s, loss=1.8615 acc=38.4% cv=0.497]
ep 29 | loss=1.8729 train=38.4% test=38.2% cv=0.497 | best=frog=52% worst=cat=20% | 5s
Ep 30/30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 97/97 [00:03<00:00, 29.10it/s, loss=1.8547 acc=38.4% cv=0.497]
ep 30 | loss=1.8725 train=38.4% test=38.2% cv=0.497 | best=frog=52% worst=cat=20% | 5s
Embed sim: avg=-0.003 min=-0.997 max=0.997
class acc
----------------------
airplane 40.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
automobile 45.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
bird 24.7% β–ˆβ–ˆβ–ˆβ–ˆ
cat 19.7% β–ˆβ–ˆβ–ˆ
deer 30.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
dog 36.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
frog 52.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
horse 44.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
ship 44.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
truck 42.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
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CALIBRATED PATCHWORK COMPLETE
Best: 38.2%
Params: 49,942
Final CV: 0.4970
Chance: 10.0%
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